Risk Assessment and Decision-Making for Safe Vehicle Navigation under Uncertainty (Invited Talk)
Abstract
New Bayesian approaches for Autonomous Vehicles are presented, with an emphasis on Situation Awareness, Collision Risk Assessment, and Decision-making for safe navigation and maneuvering. It is shown that Bayesian approaches are mandatory for developing such technologies and for obtaining the required robustness in presence of
uncertainty and complex traffic situations. Results obtained in cooperation with Toyota and with Renault are also presented.